高分一号宽视场传感器的初步比较

Feng Chen, Wenhao Zhang, Jing Hu, Baisong Zhao, Chenxing Wang, Yuejun Song
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引用次数: 0

摘要

作为高分一号(GF-1)卫星上的成像系统之一,宽视场(WFV)传感器获取空间分辨率为16 m的多光谱图像。中等空间分辨率、高时间分辨率和宽幅使得GF-1 WFV多光谱成像更适合大尺度地表监测。目前,以GF-1 WFV数据处理与应用为主的研究已被广泛报道。GF-1型WFV传感器有四种(即WFV1、WFV2、WFV3和WFV4),它们的设计特征相似,但它们之间存在差异。然而,四种WFV传感器之间的可比性尚未得到充分讨论。本文介绍了GF-1型WFV传感器比较的初步结果。GF-1 WFV传感器在红色通道和绿色通道的光谱响应函数和衍生指标(即通道有效波长和重叠百分比)上存在较大差异,而蓝色通道的差异不太明显。传感器之间的差异通常随通道的不同而变化,这也与比较中的传感器有关。总的来说,WFV1和WFV2在所有通道(即蓝、绿、红和近红外通道)上都显示出可比性。此外,基于GF-1 WFV综合数据的研究结果表明,一般线性模型可能不足以改善所有单个土地利用/覆盖类别的传感器之间的可比性,尽管它可以有效地减少传感器之间的总体差异。通过变换模型引入的通道反射率的潜在不确定性应考虑到以下应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary comparisons among the Gaofen-1 wide field of view sensors
The wide field of view (WFV) sensor as one of the imaging systems onboard Gaofen-l (GF-1) satellite acquires multispectral imagery with a spatial resolution of 16 m. The medium spatial resolution as well as high temporal resolution and wide swath makes the GF-1 WFV multispectral imagery more suitable for monitoring over large-scale surface. Currently, investigations mainly focusing on processing and application of the GF-1 WFV data have been widely reported. There are four GF-1 WFV sensors (namely including WFV1, WFV2, WFV3, and WFV4) designed with similar characterization, but having discrepancies among them. However, comparability among the four WFV sensors has not been discussed fully. In this paper, preliminary findings on comparison of the GF-1 WFV sensors are presented. Relatively significant discrepancies among the GF-1 WFV sensors are observed in spectral response function and the derived indicators (i.e. channel effective wavelength and the percentage of overlap) for the red and green channels, whereas the differences are less obvious for the blue channel. The between-sensor differences generally vary with the channel, which are also associated with the sensors in comparison. Overall, the WFV1 and the WFV2 show comparability in all channels (i.e. the blue, green, red, and near-infrared channels). Furthermore, the findings based on a collection of synthesized GF-1 WFV data suggest that a general linear model may not be sufficient to improve between-sensor comparability for all individual land use/cover classes, although it is effective to reduce the overall between-sensor difference. Potential uncertainty in channel reflectance introduced through transformation model should be taken into account for the applications followed by.
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